EP2384505B1 - Codage de la parole - Google Patents

Codage de la parole Download PDF

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Publication number
EP2384505B1
EP2384505B1 EP10700156.2A EP10700156A EP2384505B1 EP 2384505 B1 EP2384505 B1 EP 2384505B1 EP 10700156 A EP10700156 A EP 10700156A EP 2384505 B1 EP2384505 B1 EP 2384505B1
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Prior art keywords
spectral frequency
line spectral
frame
lsf
current frame
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German (de)
English (en)
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EP2384505A1 (fr
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Koen Bernard Vos
Karsten Vandborg Sorensen
Soren Skak Jensen
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Skype Ltd Ireland
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Skype Ltd Ireland
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/04—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using predictive techniques
    • G10L19/06—Determination or coding of the spectral characteristics, e.g. of the short-term prediction coefficients
    • G10L19/07—Line spectrum pair [LSP] vocoders
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/02—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/04—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using predictive techniques
    • G10L19/06—Determination or coding of the spectral characteristics, e.g. of the short-term prediction coefficients
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
    • G10L25/24—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being the cepstrum

Definitions

  • a shape, i are found by applying bandwidth expansion to the coefficients found in the noise shaping LPC analysis.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)

Claims (14)

  1. Procédé pour déterminer des vecteurs de fréquence spectrale de ligne transmission représentant des coefficients de filtrage pour un filtre variant dans le temps pour encoder de la parole, conformément à un modèle de filtre de source, en vertu duquel la parole est modélisée pur comprendre un signal de source filtré par le filtre variant dans le temps, le procédé consistant à :
    recevoir un signal vocal comportant des trames successives ;
    pour chaque trame d'une pluralité de trames du signal vocal, dériver un premier vecteur de fréquence spectrale de ligne (LSFoptn,0) pour une première partie d'une trame, et un deuxième vecteur de fréquence spectrale de ligne (LSFoptn,1) pour une deuxième partie de la trame, dans lequel les premier et deuxième vecteurs de fréquence spectrale de ligne sont des vecteurs de fréquence spectrale de ligne cible convertis respectivement à partir des coefficients linéaires pour les première et deuxième parties de la trame ; et
    pour chaque trame actuelle de la pluralité des trames, déterminer l'un des vecteurs de fréquence spectrale de ligne de transmission (LSFn,1) associés à la deuxième partie de la trame actuelle et déterminer un facteur d'interpolation (i) associé à la première partie de la trame actuelle, sur la base des premier et deuxième vecteurs de fréquence spectrale de ligne (LSFoptn,0 ; LSFoptn,1), et sur la base du vecteur de fréquence spectrale de ligne de transmission pour une trame précédente des trames (LSFn-1,1) ;
    dans lequel la détermination du vecteur de fréquence spectrale de ligne de transmission et du facteur d'interpolation pour chaque trame actuelle comprend la minimisation de l'énergie résiduelle de trame entière de la trame actuelle, l'énergie résiduelle de trame entière consistant en a) une différence entre le deuxième vecteur de fréquence spectrale de ligne de la trame actuelle (LSFoptn,1) et le vecteur de fréquence spectrale de ligne de transmission de la trame actuelle (LSFn,1), et b) une différence entre le premier vecteur de fréquence spectrale de ligne pour la trame actuelle (LSFoptn,0) et un vecteur de fréquence spectrale de ligne interpolé (LSFn,0), dans lequel le vecteur de fréquence spectrale de ligne interpolé (LSFn,0) est interpolé, à partir des vecteurs de fréquence spectrale de ligne de transmission pour les trames précédente et actuelle (LSFn-1,1, LSFn,1) sur la base du facteur d'interpolation (i).
  2. Procédé selon la revendication 1, dans lequel les vecteurs de fréquence spectrale de ligne cible sont des vecteurs de fréquence spectrale de ligne optimaux.
  3. Procédé selon la revendication 1, dans lequel la première partie de chaque trame est une première moitié de la trame, et la deuxième partie de chaque trame est une deuxième partie de la trame.
  4. Procédé selon l'une quelconque des revendications précédentes, dans lequel : LS F n ,0 = 1 − i LS F n − 1,1 + i ⋅ LS F n ,1 ,
    Figure imgb0018
     dans lequel LSFn,0 est le vecteur de fréquence spectrale de ligne interpolé pour la trame actuelle, i est le facteur d'interpolation, LSFn-1,1 est le vecteur de fréquence spectrale de ligne de transmission pour la trame précédente, et LSFn,1 est le vecteur de fréquence spectrale de ligne de transmission pour la trame actuelle.
  5. Procédé selon la revendication 4, dans lequel l'énergie minimisée de trame entière pour la trame actuelle est obtenue selon l'équation : 〈 LS F n ,1 i 〉 = arg min LS F n ,1 , i 1 − i ⋅ LS F n − 1,1 + i ⋅ LS F n ,1 − LSFop t n ,0 T W n ,0 ⋅ 1 − i ⋅ LS F n − 1,1 + i ⋅ LS F n ,1 − LSFop t n ,0 + LS F n ,1 − LSFop t n ,1 T W n ,1 LS F n ,1 − LSFop t n ,1
    Figure imgb0019
     où LSFoptn,0 est le premier vecteur de fréquence spectrale de ligne pour la trame actuelle, LSFoptn,1 est le deuxième vecteur de fréquence spectrale pour la trame actuelle, et Wn, 0 et Wn, 1 sont des matrices de poids d'erreur diagonales trouvées à l'aide de coefficients des premier et deuxième vecteurs de fréquence spectrale de ligne (LSFoptn,0;LSFoptn,1) de la trame actuelle.
  6. Procédé selon l'une quelconque des revendications précédentes, dans lequel ladite détermination comprend le calcul alternativement du vecteur de fréquence spectrale de ligne de transmission de la trame actuelle pour un facteur d'interpolation constant et, ensuite, du facteur d'interpolation de la trame actuelle pour le vecteur spectrale de ligne de transmission calculé pour une pluralité d'itérations.
  7. Procédé selon la revendication 6, consistant à calculer alternativement le vecteur de fréquence spectrale de ligne de transmission de la trame actuelle pour un facteur d'interpolation constant et, ensuite, le facteur d'interpolation de la trame actuelle pour le vecteur de fréquence spectrale de ligne de transmission calculé jusqu'à ce que le calcul aboutisse à des valeurs optimales pour le facteur d'interpolation et le vecteur de fréquence spectrale de ligne de la trame actuelle.
  8. Procédé selon la revendication 6, dans lequel la pluralité des itérations comprend un nombre d'itérations prédéfinies.
  9. Procédé selon l'une quelconque des revendications précédentes, consistant en outre à encoder arithmétiquement le facteur d'interpolation et le vecteur de fréquence spectrale de ligne de transmission de chaque trame actuelle.
  10. Procédé selon la revendication 9, consistant en outre à multiplexer le facteur d'interpolation et le vecteur de fréquence spectrale de ligne de transmission encodés de chaque trame actuelle en un flux binaire aux fins de transmission.
  11. Encodeur comprenant un moyen configuré pour effectuer le procédé selon l'une quelconque des revendications 1 à 10.
  12. Produit de programme d'ordinateur comprenant un code agencé de sorte que, lorsqu'il est exécuté sur un processeur, il effectue les étapes selon l'une quelconque des revendications 1 à 10.
  13. Produit de programme d'ordinateur selon la revendication 12, dans lequel le produit de programme d'ordinateur est une application client.
  14. Système de communication comprenant une pluralité de terminaux d'utilisateur final, chacun des terminaux d'utilisateur final comportant au moins un encodeur selon la revendication 11.
EP10700156.2A 2009-01-06 2010-01-05 Codage de la parole Active EP2384505B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB0900140.5A GB2466670B (en) 2009-01-06 2009-01-06 Speech encoding
PCT/EP2010/050053 WO2010079165A1 (fr) 2009-01-06 2010-01-05 Codage de données vocales

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EP2384505A1 EP2384505A1 (fr) 2011-11-09
EP2384505B1 true EP2384505B1 (fr) 2019-01-02

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GB0900140D0 (en) 2009-02-11
US20100174532A1 (en) 2010-07-08
WO2010079165A1 (fr) 2010-07-15
EP2384505A1 (fr) 2011-11-09
GB2466670A (en) 2010-07-07
GB2466670B (en) 2012-11-14
US8670981B2 (en) 2014-03-11

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